Open source alternative to ElevenLabs, PlayHT, Cartesia and Resemble AI
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Generate TTS audio with voice cloning, natural-language emotion tags, and multi-character scene production. Multilingual, self-hosted, Python.
Fish Speech's local API server accepts text and returns audio, fitting directly into agent frameworks or server-side pipelines. Inline emotion tags allow downstream control of speech delivery without additional fine-tuning.
If your application needs a fully managed TTS API with enterprise SLAs and no infrastructure to maintain, a commercial provider removes the ops overhead that self-hosting requires.
Drama 3 voices complete scripts with multiple named characters in one pass, and multi-turn director revision lets producers adjust delivery without re-generating from scratch. Streaming support handles long recordings without chunking.
If your production requires human voice acting or broadcast-quality direction for flagship content, self-hosted TTS serves as a supplement rather than a full replacement.
Voice cloning from short clips and multi-language support enable diverse synthetic speech generation at scale, with no per-character API cost on self-hosted infrastructure.
The Fish Audio Community License v1.0 explicitly prohibits using the model to train competing generative speech models. Verify your dataset use case against the license before building a training pipeline.
Organizations under $500,000 USD in annual gross revenue can self-host Fish Speech for internal products under the community license. Docker deployment and CLI access lower the setup barrier for teams without dedicated ML infrastructure.
If your organization's annual gross revenue exceeds $500,000 USD, a separate commercial license is required before production deployment. Factor that licensing cost into the evaluation alongside infrastructure costs.
Commercial text-to-speech APIs charge per character generated, per API call, or through subscription tiers that scale with volume. For developers building voice agents, content pipelines, or LLM interfaces, those costs grow quickly once beyond small-scale testing. A product that narrates articles, voices audiobook chapters, or generates game dialogue can reach hundreds of dollars monthly before hitting production-level request volumes.
Beyond cost, hosted TTS services place voice profiles on the provider's infrastructure. Cloned voices stay on their servers, and switching providers means re-cloning and re-validating across your content. For teams with data-handling requirements, routing audio generation through a third-party API adds compliance friction that a self-hosted model stack avoids.
Reproduces a speaker's timbre from 10 to 30 seconds of reference audio. Drama 3 extends this with lower cross-lingual cloning error rates, achieving state-of-the-art results on the MiniMax Multilingual Testset benchmarks across 24 languages.
Inline tags like [whisper], [angry], [laughing], [pause], and [excited] control emotion and prosody at any point in the text without separate fine-tuning. Tags are placed directly in the input string alongside the text they modify.
Drama 3 voices a complete script with multiple named speakers in one pass. Speaker IDs separate characters inside one text block, removing the step of generating and concatenating individual speaker tracks one at a time.
After generating a take, you can send a natural-language instruction to Drama 3 referencing the previous output, such as "gentler, and a bit sadder," and the model regenerates with that context. Revision history accumulates across turns rather than starting from scratch.
Drama 3 supports replacing a single word in finished audio while keeping the surrounding timbre and transitions intact. A clip where the speaker says "Wednesday" can be edited to say "Thursday" without re-generating the full take.
All three interfaces share the same model backend. The API server supports production streaming with RTF 0.195 on a single H200 and roughly 100 ms to first audio. SGLang-Omni is available for higher-efficiency inference in production deployments.
ElevenLabs is one of the leading paid TTS platforms Fish Speech is positioned to replace. The key difference is deployment model: ElevenLabs provides a managed API with no self-hosting option; Fish Speech runs on your own infrastructure with no per-use cost once the model weights are deployed.
| Feature | Fish Speech | ElevenLabs |
|---|---|---|
| License | Fish Audio Community License v1.0 | Proprietary |
| Self-hosting | Yes | No |
| Pricing model | Inference compute only | Subscription/pay-per-use |
| Voice cloning | Yes (10-30s reference audio) | Yes |
| Emotion tags | Inline natural-language tags | Managed |
| Multi-character scenes | Yes (Drama 3) | Not supported |
Fish Speech is the better choice for teams that need self-hosted inference, data ownership, or high-volume generation where managed API fees scale with usage. ElevenLabs is the better choice when you need a fully managed API with no infrastructure to provision or maintain.
PlayHT is another paid TTS platform Fish Speech targets as a direct alternative. Both support voice cloning, but PlayHT operates as a hosted service with subscription pricing. Fish Speech removes recurring API costs and places generation on your own hardware. PlayHT offers simpler onboarding and avoids GPU provisioning; Fish Speech trades that convenience for cost control at scale and offline capability.
Cartesia and Resemble AI are paid TTS services listed among Fish Speech's primary alternatives. Fish Speech's S2-Pro delivers RTF 0.195 on production hardware with roughly 100 ms to first audio, competitive latency for teams willing to manage their own inference endpoint. Cartesia and Resemble AI remain stronger choices when you need a fully managed service, enterprise support, or rapid onboarding without infrastructure work.
Self-hosting uses Docker for deployment; install docs at speech.fish.audio cover full setup including weight downloads and server configuration.
```bash
docker pull fishaudio/fish-speech
```Self-hosting is free under the Fish Audio Community License v1.0 for organizations with annual gross revenue under $500,000 USD. Above that threshold, or for any service letting third parties generate speech via API or UI, a separate commercial license is required from Fish Audio. The model weights are downloadable from HuggingFace at no charge.
S2-Pro (4B parameters) runs on consumer-grade GPUs. Drama 3 (35B parameters, 3B active per token) requires a capable server GPU; the project recommends SGLang-Omni for production inference efficiency. S2-Pro achieves RTF 0.195 on a single H200 with roughly 100 ms to first audio in streaming mode.
S2-Pro can reproduce a speaker's timbre from 10 to 30 seconds of reference audio. Drama 3 extends voice cloning with lower multilingual error rates, achieving state-of-the-art results on the MiniMax Multilingual Testset across 24 languages.
No, not under the community license. Offering a hosted service where third parties generate speech via API, SDK, or UI is explicitly excluded from the Fish Audio Community License v1.0 and requires a separate commercial license from Fish Audio, regardless of your organization's revenue.
S2-Pro achieves 0.54% word error rate on Chinese and 0.99% on English in Seed-TTS evaluation, lower than Seed-TTS (1.12%/2.25%), MiniMax Speech-02 (0.99%/1.90%), and Qwen3-TTS (0.77%/1.24%). On the Audio Turing Test, S2-Pro scores 0.515 posterior mean, surpassing Seed-TTS (0.417) by 24% and MiniMax Speech (0.387) by 33%.
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